Remote Environment Communication Routing by Priority and Congestion
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Solution Overview
Problem
Traditional network architectures struggle to handle dynamic demands and traffic patterns, lack flexibility, and are prone to outages, inefficiencies, and security vulnerabilities.
Innovation Solution
A system and method that includes a processor configured to receive transmission data, identify network devices, determine a routing path based on transmission priority and congestion, and dynamically transmit data through identified paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional network architectures are used, then network infrastructure is simple and stable, but the system cannot handle dynamic demands and traffic patterns efficiently
Solution Approach 1:
The patent implements dynamic routing paths that automatically adjust based on real-time network conditions such as congestion levels, security threats, and performance metrics. The system continuously monitors network state and reconfigures data transmission paths without manual intervention, enabling the network to adapt flexibly to changing demands while maintaining simple underlying infrastructure.
2Reliability
If traditional network architectures are used, then system structure is stable, but the system is prone to outages and security vulnerabilities
Solution Approach 1:
The patent introduces an intermediary intelligent system that acts as a mediator between the simple network infrastructure and the complex requirements for reliability and security. This intermediary layer monitors network conditions, identifies threats, and dynamically routes traffic through secure paths, thereby improving reliability without requiring fundamental changes to the underlying network hardware architecture.
3Productivity
If dynamic routing is implemented, then data transmission efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements a self-service routing system that automatically monitors network conditions, makes routing decisions, and adjusts transmission paths without external control. The system uses embedded intelligence at network nodes to autonomously optimize data flow based on local conditions, thereby improving transmission efficiency while minimizing the need for complex centralized control infrastructure.
Data Source
AI summary
A system for communication between remote environments includes at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive transmission data from one or more operating environments wherein the transmission data includes an intended recipient of the transmission data and a transmission priority, identify one or more network devices on one or more communication networks, wherein identifying one or more network devices further includes determining a congestion datum for each of the one or more network devices, dynamically determine a routing path for the transmission data as a function of the at least a transmission priority and the one or more network devices and transmit the transmission data to the intended recipient through the routing path.